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Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal
  Clinical NLP
v1v2 (latest)

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP

Clinical Natural Language Processing Workshop (ClinicalNLP), 2020
19 November 2020
John Chen
Ian Berlot-Attwell
Safwan Hossain
Xindi Wang
Frank Rudzicz
    FaML
ArXiv (abs)PDFHTMLGithub (13★)

Papers citing "Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP"

2 / 2 papers shown
The Road to Explainability is Paved with Bias: Measuring the Fairness of
  Explanations
The Road to Explainability is Paved with Bias: Measuring the Fairness of ExplanationsConference on Fairness, Accountability and Transparency (FAccT), 2022
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
330
99
0
06 May 2022
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
On the Impact of Random Seeds on the Fairness of Clinical ClassifiersNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Silvio Amir
Jan-Willem van de Meent
Byron C. Wallace
152
17
0
13 Apr 2021
1
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